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Konradsen Lemming posted an update 6 months, 1 week ago
g pathologically proven HCC lesions not meeting LI-RADS criteria for definitive HCC (LR5) can correctly differentiate HCC lesions from other liver malignancies, potentially expanding the role of image-based diagnosis in primary liver cancer with atypical features. Mocetinostat • The trained CNN demonstrated an overall accuracy of 87.3% and a computational time of less then 3 ms which paves the way for clinical application as a decision support instrument.
Diagnosis of otosclerosis on temporal bone CT images is often difficult because the imaging findings are frequently subtle. Our aim was to assess the utility of deep learning analysis in diagnosing otosclerosis on temporal bone CT images.
A total of 198 temporal bone CT images were divided into the training set (n = 140) and the test set (n = 58). The final diagnosis (otosclerosis-positive or otosclerosis-negative) was determined by an experienced senior radiologist who carefully reviewed all 198 temporal bone CT images while correlating with clinical and intraoperative findings. In deep learning analysis, a rectangular target region that includes the area of the fissula ante fenestram was extracted and fed into the deep learning training sessions to create a diagnostic model. Transfer learning was used with the deep learning model architectures of AlexNet, VGGNet, GoogLeNet, and ResNet. The test data set was subsequently analyzed using these models and by another radiologist with 3 years of experience inning can be a helpful tool for the diagnosis of otosclerosis on temporal bone CT. • Deep learning analyses with GoogLeNet and ResNet demonstrate non-inferiority when compared to the subspecialty trained radiologist. • Deep learning may be particularly useful in medical institutions without experienced radiologists.
Opsoclonus myoclonus ataxia (OMA) syndrome, also known as “Kinsbourne syndrome” or “dancing eye syndrome,” is a rare, paraneoplastic entity which may be associated with pediatric neuroblastic tumors and carry a grave prognosis. We aimed to evaluate the role of
Ga DOTANOC PET/CT for detecting neuroblastic tumors in patients with OMA syndrome.
We retrospectively evaluated the
Ga-DOTANOC PET/CT data of pediatric patients presenting with OMA syndrome from March 2012 to November 2018. A somatostatin receptor (SSTR)-expressing lesion with corresponding morphological change on CT image was considered PET-positive, while no abnormal SSTR expression or lesion was noticed in PET-negative patients. Histopathology and/or clinical/imaging follow-up (minimum one year) was considered a reference standard for comparing the PET/CT findings. The results of
Ga-DOTANOC PET/CT were also compared with
I MIBG whole-body scintigraphy, which was available in five patients.
Of 38 patients (13 males, 25 females, aged 3-96 MIBG imaging has a proven role for functional imaging in neuroblastoma or patients with OMA, but the role of
Ga-DOTANOC PET/CT is not yet studied. • 68Ga-labelled DOTANOC PET/CT (SSTR) imaging, in our cohort, was able to positively identify neuroblastic tumors with high diagnostic accuracy when compared with histology.
• Opsoclonus myoclonus ataxia (OMA) syndrome or “dancing eye syndrome” is a rare paraneoplastic entity which may be associated with pediatric neuroblastic tumors with a grave prognosis. • 123I/131I MIBG imaging has a proven role for functional imaging in neuroblastoma or patients with OMA, but the role of 68Ga-DOTANOC PET/CT is not yet studied. • 68Ga-labelled DOTANOC PET/CT (SSTR) imaging, in our cohort, was able to positively identify neuroblastic tumors with high diagnostic accuracy when compared with histology.
No routine imaging technology allows reliable visualization of nerve rootlets inside the spinal canal with positive contrast. The stronger MR signal at 7 T, with optimized protocols, may offer a solution. The purpose was to evaluate the potential of 3D Dual-Echo Steady-State (DESS) MR imaging of the cervical spine at 3 and 7 T in assessing the micro-anatomy of the nerve rootlets.
This prospective study was approved by the local ethics committee. Twenty-one patients, clinically referred to cervical-spine MRI, underwent additional MR exams at 3 T and 7 T, each of which consisted of a single 3D-DESS series with equal acquisition times. Artifacts, visualization quality, and number of identified rootlets (C2 to C8) were rated by two musculoskeletal radiologists. Results were compared by Wilcoxon tests. Interobserver reliability was assessed using weighted κ statistics and intraclass correlation coefficient (ICC).
Intraspinal rootlets could successfully be visualized at both field strengths. Rating difference be successfully visualized with positive contrast using 3D-DESS MR-imaging. • 3D-DESS MR-imaging at 3 and 7 T provides precise assessments of the micro-anatomy of cervical nerves. • The mean number of identified cervical rootlets using 3D-DESS was larger for 7 T than for 3 T MR; however, this difference was not statistically significant.
To compare the diagnostic power of separately integrating on-site computed tomography (CT)-derived fractional flow reserve (CT-FFR) and static CT stress myocardial perfusion (CTP) with coronary computed tomography angiography (CCTA) in detecting patients with flow-limiting CAD. The flow-limiting stenosis was defined as obstructive (≥ 50%) stenosis by invasive coronary angiography (ICA) with a corresponding perfusion deficit on stress single photon emission computed tomography (SPECT/MPI).
Forty-eight patients (74 vessels) were enrolled who underwent research-indicated combined CTA-CTP (320-row CT scanner, temporal resolution 137 ms) and SPECT/MPI prior to conventional coronary angiography. CT-FFR was computed on-site using resting CCTA data with dedicated workstation-based software. All five imaging modalities were analyzed in blinded independent core laboratories. Logistic regression and the integrated discrimination improvement (IDI) index were used to evaluate incremental differences in CT-FFR or CTP cntly evaluate both coronary anatomy and physiology in the future management of patients with suspected CAD, without the need for additional vasodilator administration and contrast and radiation exposure.
• Both on-site CT-FFR and CTP perform well with high diagnostic accuracy in the detection of flow-limiting stenosis. • Comparable diagnostic accuracy between CCTA + CT-FFR and CCTA + CTP is demonstrated to detect flow-limiting stenosis. • Integrated CT-FFR and CCTA derived from a single widened CCTA data acquisition can accurately and conveniently evaluate both coronary anatomy and physiology in the future management of patients with suspected CAD, without the need for additional vasodilator administration and contrast and radiation exposure.
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